National Law Review, The Michigan Supreme Court Contracts with Learned Hand for Purpose-Built Judicial AI:

The Michigan Supreme Court has contracted with Learned Hand, the first generative AI platform purpose-built for courts, to support judges and judicial staff. The contracted services will provide Michigan Supreme Court (MSC) staff with access to Learned Hand’s customized legal reasoning platform. …

Shlomo Klapper [CEO of Learned Hand] explains Learned Hand’s platform as “a closed universe, so it draws exclusively from verified legal authorities and court-specific guidance. The system is engineered to maintain extremely robust safeguards against hallucinations. All outputs are grounded in established law and precedent, which are then linked side-by-side so that court attorneys can verify every claim from its source. With rigorous validation processes and ongoing collaboration with judicial experts, Learned Hand delivers consistent, transparent, and reliable legal reasoning.”

Where other tools are trained for the business of law, Learned Hand is built to support the rule of law.

Courts across America face a crushing caseload with zero tolerance for error. Off-the-shelf tools do not meet the bar for the rigor of court work and litigator-focused tools are inapposite. That’s why Learned Hand built a “law clerk for law clerks,” a platform engineered for the unique responsibilities of the court: to reason transparently, analyze impartially, and uphold the rule of law.

(Hat Tip: Joel Johnson)

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